BALARAJU THIRUPALU

Email: adrxh2@r.postjobfree.com

: 863-***-****

Career Objective: I like to work in growth-oriented environment, which will best utilize my educational, analytical, technical skills and enhance my knowledge as well as being an asset to the organization.

Professional Summary:

•Having around 4 years of IT Experience in which 2.3 years into Microsoft Azure Services (Administrator, Backup, Data Factory (ADF) V2) and 1.7 years into ADF.

•Knowledge in Azure Resource Manager (ARM) Templates.

•Good hands-on Azure Data Factory

•Good experience in Confidential Flows

•Moving data from on premises DB to Azure SQL DB with the help of Confidential Flows

•Create automated workflows with the help of triggers

•Pumping data between Excel and Servers using Flows

•Scheduled Jobs in Flows and ADF Pipelines

•Experience in Creating and Updating Clustered and Non-Clustered Indexes to keep up the SQL Server Performance

•Creating containers and generating the SAS keys, Managing the load balancers

•Constantly monitor Load for the entire farm and come up with the recommendations to evenly balance the load.

•Used Azure Download/upload tasks to download and upload blobs.

•Experienced in maintaining Event Handlers, Created Configuration and Connection Managers

•Creating NSG’s and attaching to subnets and NIC’s.

•Configuring the VMs in Availability Set to provide higher availability for virtual machines.

•Deploying VMs into Azure Virtual Networks.

Assigning RBAC permissions to the groups in ADLS.

•Creating and configuring storage account access, diagnostics & monitoring.

•Deploy and Manage the Azure Services like Virtual Machines, Web Apps, Storage, Azure Active Directory, and Virtual Networks.

•Good Knowledge in Log Analytics (OMS).

•Knowledge in Application Insights.

•Knowledge in Azure synapse.

•Good Knowledge on Recovery Services vaults.

• Knowledge on How to configure and adding policies on server.

• Performing VM and File level restores

Work Experience:

Company Name: - Network-18 Media & Investment ( Tv18 Broadcast Limited )

Hyderabad

Azure Data Engineer

Nov 2020 – still

Windows Administration and Azure Administration

Aug 2018 – Nov 2020.

Educational Qualification:

●Completed MBA From Osmania University 2012-2014 with 62%

●Completed B.Com (CA) from SRNB Degree and PG College 2009 to 2012 with 68%.

●Intermediate from MVSR Jr. College in 2009 with 65%.

●SSC from AP Model School in 2005 with 67%.

Technical Skills:

Programming

C, C++, SQL, PL\SQL, Basic PowerShell Scripting.

Operating Systems

Windows 8, Windows 10, Windows 2008/2012.

ETL Tools

Azure Data Factory.

Cloud Technologies

Azure Administration, Azure Data Factory. Azure Data Lake storage and Azure Data Bricks

Professional Summary:

Project 1: DIGITAL SALES

Duration: Feb 2022 – Till Date

Company

HCL Technologies

Client

Microsoft Corporation

Role

Systems Engineer, SQL Developer,

Environment

SSMS, Power BI, ADF, Azure, Data Bricks

Project description:

Digital Sales Compensation deals with the Inside sales information of Microsoft, pulling the data from various data sources and performing transformations. The financial data is processed based on the business rules and requirement. The user facing Power-BI reports are populated on daily basis. All the processed financial data populated for our downstream to proceed with the payouts.

Responsibilities Handled:

•Responsible for planning and handling day – to – day scrum calls, team activities, retrospection, resources, and productivity.

•As the project CM (Configuration Manager), responsible for documenting all the analysis, coding and testing performed related to User Stories and maintaining VSO hygiene on daily basis.

•Working on architecture improvement and changes on existing system by modifying the multiple database models to the single database architecture by significantly bringing down the expenditures.

•Building the pipelines to copy the data from source to destination in Azure Data Factory

•Working on creating dependencies of activities in Azure Data factory

•Monitoring Produced and Consumed Data Sets of ADF

•Creating Data Factories in Azure Data factory

•Moving data from on premises DB to Azure SQL DB with the help of Confidential Flows

•Creating automated workflows with the help of triggers

•Pumping data between Excel and Servers using Flows

•Scheduled Jobs in Flows and ADF Pipelines

•Migrating the data from different sources to the destination with the help of ADF

•Creating Pipelines with GUI in Azure Data Factory V2

•Scheduling Pipelines and monitoring the data movement from source to destinations

•Transforming data in Azure Data Factory with the ADF Transformations

•Creating Multiple Data Sets in Azure worked in migration of SQL Server 2008/2012/2014 to SQL Server 2017.

•Used T-SQL in constructing User Functions, Views, Indexes, User Profiles, Relational Database Models, Data Dictionaries, and Data Integrity.

•Trouble shoot any kind of data issues or validation issues

•Provide support of production applications by trouble-shooting issues, and developing, testing and migration of Data Bases.

•Moving CSV files from Azure blob to Azure SQL Server

•Gathering requirements from the client managers and implementing them as tasks as per requirements

•Scheduling Pipelines and monitoring the data movement from source to destinations

•Transforming data in Azure Data Factory with the ADF Transformations

•Creating Multiple Data Sets in Azure worked in migration of SQL Server 2008/2012/2014 to SQL Server 2017.

•Used T-SQL in constructing User Functions, Views, Indexes, User Profiles, Relational Database Models, Data Dictionaries, and Data Integrity.

•Trouble shoot any kind of data issues or validation issues

•Provide support of production applications by trouble-shooting issues, and developing, testing and migration of Data Bases.

•Moving CSV files from Azure blob to Azure SQL Server

•Gathering requirements from the client managers and implementing them as tasks as per requirements.

Project 2: PEPSICOLA

Duration: Dec 2021 – Jan-2022

Company

HCL Technologies

Client

PepsiCo

Role

Data Engineer, SQL Developer

Environment

ADF, Azure, Power Automate

Project description:

PepsiCo is a global food and beverage leader with a product portfolio including 22 brands that generate more than $1 billion each in annual retail sales. Make hundreds of enjoyable foods and beverages that are loved throughout the world This project for maintain worldwide PepsiCo customers data.

Responsibilities Handled:

Building the pipelines to copy the data from source to destination in Azure Data Factory

Worked on creating dependencies of activities in Azure Data factory

Monitoring Produced and Consumed Data Sets of ADF

Creating Data Factories in Azure Data factory

Moving data from on premises DB to Azure SQL DB with the help of Confidential Flows

Project 3: E DATA PROCESSING

Duration: Aug 2018 – Nov 2021

Company

HCL Technologies

Client

Microsoft Corporation

Role

Azure Admin

Environment

ASP.Net, ADO.Net WCF, MVC

Project description:

The E Data Processing application is an Online Website for an Organization. It is a virtual showcase for different types of products. The main aim of this project is to make Online

shopping very easily. The Special thing about this project is it provides different types of products to purchase.

Responsibilities Handled:

•Worked on Azure cloud IaaS Services.

•Working with different product teams to analyze their product architecture and setting up their Infrastructure on the Azure cloud.

•Creating Resource Groups and Managing the same as per Business Requirement through IAM

•Creating Windows Virtual Machines, Images, Workloads and Managing Same

•Creating Azure VM scale set, Azure Load Balancers, Azure Traffic Managers

•Creating Azure ARM templates and reusing same for Different Environments

•Creating Storage Accounts and Managing their access levels, Life Cycle Management

•Migrating On premises data to Azure Blobs & Creating NFS Azure Files Storage

•Creating Network Security Group and implementing business requirement settings through NSG's like port blocking, Internet booking, etc.

•Monitoring Azure Virtual Machines through Operations Management Suite

•Taking VM backup & recovering same through Recovery/Backup Services vault and Generating Reports

•Migrating on Premises Websites to Azure Web apps

•Creating and syncing on premises Users to Azure AD through AD connect

•Creating new users & groups in Azure AD

•Deploying Enterprise applications through Azure AD

•Stopping AD Sync & Deleting Orphan Users, Service Accounts

•Migrating on-premises SQL databases to Azure SQL databases

Declaration:

I hereby declare that the above provided information is correct to the best of my knowledge and belief.

Place: Hyderabad. Balaraju Thirupalu.

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